{
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   "cell_type": "code",
   "id": "initial_id",
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    "ExecuteTime": {
     "end_time": "2025-06-11T07:00:54.740443Z",
     "start_time": "2025-06-11T07:00:54.735527Z"
    }
   },
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib.dates import MonthLocator, DateFormatter\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.063815Z",
     "start_time": "2025-06-11T05:33:55.940856Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 读取数据\n",
    "test_data = pd.read_csv('data/test.csv')\n",
    "\n",
    "# 转换日期列为datetime类型\n",
    "test_data['auditing_date'] = pd.to_datetime(test_data['auditing_date'])\n",
    "test_data['due_date'] = pd.to_datetime(test_data['due_date'])\n",
    "\n",
    "# 提取年、月、日等时间维度\n",
    "test_data['audit_year'] = test_data['auditing_date'].dt.year\n",
    "test_data['audit_month'] = test_data['auditing_date'].dt.month\n",
    "test_data['audit_day'] = test_data['auditing_date'].dt.day\n",
    "# 0=Monday, 6=Sunday\n",
    "test_data['audit_weekday'] = test_data['auditing_date'].dt.weekday  \n",
    "test_data['audit_week'] = test_data['auditing_date'].dt.isocalendar().week\n",
    "\n",
    "test_data"
   ],
   "id": "9f9eb84b6674f991",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        user_id  listing_id auditing_date   due_date    due_amt  audit_year  \\\n",
       "0        498765     5431438    2019-03-12 2019-04-12   138.5903        2019   \n",
       "1         34524     5443211    2019-03-15 2019-04-15   208.0805        2019   \n",
       "2        821741     5461707    2019-03-22 2019-04-22   421.2097        2019   \n",
       "3        263534     5472320    2019-03-26 2019-04-26   212.6537        2019   \n",
       "4        238853     5459750    2019-03-21 2019-04-21   817.4593        2019   \n",
       "...         ...         ...           ...        ...        ...         ...   \n",
       "129995   580040     5287412    2019-02-01 2019-03-01  1227.8448        2019   \n",
       "129996   495129     5461576    2019-03-22 2019-04-22   174.9248        2019   \n",
       "129997   233442     5319333    2019-02-10 2019-03-10   168.3364        2019   \n",
       "129998    20165     5336095    2019-02-15 2019-03-15   350.2759        2019   \n",
       "129999   265473     5460170    2019-03-21 2019-04-21   293.8277        2019   \n",
       "\n",
       "        audit_month  audit_day  audit_weekday  audit_week  \n",
       "0                 3         12              1          11  \n",
       "1                 3         15              4          11  \n",
       "2                 3         22              4          12  \n",
       "3                 3         26              1          13  \n",
       "4                 3         21              3          12  \n",
       "...             ...        ...            ...         ...  \n",
       "129995            2          1              4           5  \n",
       "129996            3         22              4          12  \n",
       "129997            2         10              6           6  \n",
       "129998            2         15              4           7  \n",
       "129999            3         21              3          12  \n",
       "\n",
       "[130000 rows x 10 columns]"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>listing_id</th>\n",
       "      <th>auditing_date</th>\n",
       "      <th>due_date</th>\n",
       "      <th>due_amt</th>\n",
       "      <th>audit_year</th>\n",
       "      <th>audit_month</th>\n",
       "      <th>audit_day</th>\n",
       "      <th>audit_weekday</th>\n",
       "      <th>audit_week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>498765</td>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>138.5903</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>34524</td>\n",
       "      <td>5443211</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>2019-04-15</td>\n",
       "      <td>208.0805</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>821741</td>\n",
       "      <td>5461707</td>\n",
       "      <td>2019-03-22</td>\n",
       "      <td>2019-04-22</td>\n",
       "      <td>421.2097</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>263534</td>\n",
       "      <td>5472320</td>\n",
       "      <td>2019-03-26</td>\n",
       "      <td>2019-04-26</td>\n",
       "      <td>212.6537</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>238853</td>\n",
       "      <td>5459750</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>2019-04-21</td>\n",
       "      <td>817.4593</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129995</th>\n",
       "      <td>580040</td>\n",
       "      <td>5287412</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>1227.8448</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129996</th>\n",
       "      <td>495129</td>\n",
       "      <td>5461576</td>\n",
       "      <td>2019-03-22</td>\n",
       "      <td>2019-04-22</td>\n",
       "      <td>174.9248</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129997</th>\n",
       "      <td>233442</td>\n",
       "      <td>5319333</td>\n",
       "      <td>2019-02-10</td>\n",
       "      <td>2019-03-10</td>\n",
       "      <td>168.3364</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129998</th>\n",
       "      <td>20165</td>\n",
       "      <td>5336095</td>\n",
       "      <td>2019-02-15</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>350.2759</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129999</th>\n",
       "      <td>265473</td>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>2019-04-21</td>\n",
       "      <td>293.8277</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>130000 rows × 10 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.075506Z",
     "start_time": "2025-06-11T05:33:56.064919Z"
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   },
   "cell_type": "code",
   "source": [
    "# 查看数据基本信息\n",
    "test_data.info()"
   ],
   "id": "20e8788fbf6b416c",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 130000 entries, 0 to 129999\n",
      "Data columns (total 10 columns):\n",
      " #   Column         Non-Null Count   Dtype         \n",
      "---  ------         --------------   -----         \n",
      " 0   user_id        130000 non-null  int64         \n",
      " 1   listing_id     130000 non-null  int64         \n",
      " 2   auditing_date  130000 non-null  datetime64[ns]\n",
      " 3   due_date       130000 non-null  datetime64[ns]\n",
      " 4   due_amt        130000 non-null  float64       \n",
      " 5   audit_year     130000 non-null  int32         \n",
      " 6   audit_month    130000 non-null  int32         \n",
      " 7   audit_day      130000 non-null  int32         \n",
      " 8   audit_weekday  130000 non-null  int32         \n",
      " 9   audit_week     130000 non-null  UInt32        \n",
      "dtypes: UInt32(1), datetime64[ns](2), float64(1), int32(4), int64(2)\n",
      "memory usage: 7.6 MB\n"
     ]
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.105106Z",
     "start_time": "2025-06-11T05:33:56.077766Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 按月聚合数据\n",
    "monthly_data = test_data.groupby(['audit_year', 'audit_month']).agg({\n",
    "    'due_amt': 'sum',\n",
    "    'user_id': 'nunique'\n",
    "}).reset_index()\n",
    "\n",
    "# 创建日期列用于排序\n",
    "monthly_data['date'] = pd.to_datetime(\n",
    "    monthly_data['audit_year'].astype(str) + '-' + \n",
    "    monthly_data['audit_month'].astype(str) + '-01'\n",
    ")\n",
    "\n",
    "# 排序\n",
    "monthly_data = monthly_data.sort_values('date')\n",
    "monthly_data"
   ],
   "id": "dcfc15bb9ab319e9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   audit_year  audit_month       due_amt  user_id       date\n",
       "0        2019            2  2.581492e+07    57113 2019-02-01\n",
       "1        2019            3  2.950719e+07    72887 2019-03-01"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>audit_year</th>\n",
       "      <th>audit_month</th>\n",
       "      <th>due_amt</th>\n",
       "      <th>user_id</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>2.581492e+07</td>\n",
       "      <td>57113</td>\n",
       "      <td>2019-02-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>2.950719e+07</td>\n",
       "      <td>72887</td>\n",
       "      <td>2019-03-01</td>\n",
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      ]
     },
     "execution_count": 4,
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   ],
   "execution_count": 4
  },
  {
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     "end_time": "2025-06-11T05:33:56.469233Z",
     "start_time": "2025-06-11T05:33:56.106192Z"
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   },
   "cell_type": "code",
   "source": [
    "#每月应还金额总额趋势\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(monthly_data['date'], monthly_data['due_amt'], marker='o')\n",
    "plt.title('Monthly Total Due Amount Trend (2019)')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Total Due Amount')\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ],
   "id": "312e04ee3dec435c",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.474427Z",
     "start_time": "2025-06-11T05:33:56.470578Z"
    }
   },
   "cell_type": "code",
   "source": "print(\"从图中我们可以看出整体呈现 持续上升趋势，从 2 月 1 日的约 2.58 千万，稳步增长到 3 月 1 日的约 2.95 千万，反映出 应付款总额随时间逐月递增 ，业务规模或债务需求可能在扩大。\")",
   "id": "58ee5a19f9544f1f",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "从图中我们可以看出整体呈现 持续上升趋势，从 2 月 1 日的约 2.58 千万，稳步增长到 3 月 1 日的约 2.95 千万，反映出 应付款总额随时间逐月递增 ，业务规模或债务需求可能在扩大。\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.697675Z",
     "start_time": "2025-06-11T05:33:56.475442Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#每月用户数量分布\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='audit_month', y='user_id', data=monthly_data, palette='viridis')\n",
    "plt.title('Number of Unique Users per Month (2019)')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Users')\n",
    "plt.xticks(ticks=range(12), labels=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', \n",
    "                                   'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ],
   "id": "761b8c62616b83bf",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.702522Z",
     "start_time": "2025-06-11T05:33:56.698884Z"
    }
   },
   "cell_type": "code",
   "source": "print(\"从现有数据看，2019 年 2 月独立用户数显著高于 1 月 ，业务可能在 2 月有推广活动、节日效应（如春节）等，拉动了用户增长。\")",
   "id": "bc90a65d96643454",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "从现有数据看，2019 年 2 月独立用户数显著高于 1 月 ，业务可能在 2 月有推广活动、节日效应（如春节）等，拉动了用户增长。\n"
     ]
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.865379Z",
     "start_time": "2025-06-11T05:33:56.703851Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 添加是否为周末的标记\n",
    "test_data['is_weekend'] = test_data['auditing_date'].dt.weekday >= 5\n",
    "\n",
    "weekday_data = test_data.groupby('is_weekend').agg({\n",
    "    'due_amt': 'sum',\n",
    "    'user_id': 'nunique'\n",
    "}).reset_index()\n",
    "weekday_data['is_weekend'] = weekday_data['is_weekend'].map({False: 'Weekday', True: 'Weekend'})\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.barplot(x='is_weekend', y='due_amt', data=weekday_data, palette='pastel')\n",
    "plt.title('Total Due Amount: Weekday vs Weekend')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Total Due Amount')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ],
   "id": "4cde94d060c0a557",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 9
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:56.869582Z",
     "start_time": "2025-06-11T05:33:56.866623Z"
    }
   },
   "cell_type": "code",
   "source": "print(\"综上所述，工作日的应付款总额远高于周末 ，可能反映出业务交易、债务产生更集中在工作日，周末活动 / 交易需求相对较少。\")",
   "id": "f9914154b2daac98",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "综上所述，工作日的应付款总额远高于周末 ，可能反映出业务交易、债务产生更集中在工作日，周末活动 / 交易需求相对较少。\n"
     ]
    }
   ],
   "execution_count": 10
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:57.737356Z",
     "start_time": "2025-06-11T05:33:56.870590Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#应还金额分布直方图\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(test_data['due_amt'], bins=50, kde=True)\n",
    "plt.title('Distribution of Due Amounts')\n",
    "plt.xlabel('Due Amount')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xlim(0, 3000)  # 限制范围以更好地观察主要分布\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ],
   "id": "41f79b66bafae61d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:57.744023Z",
     "start_time": "2025-06-11T05:33:57.738537Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print(\"集中趋势 ：金额主要集中在 0-500 区间 ，尤其是接近 0 的小额区间（比如 0-200 左右），频率峰值很高（接近 10 万 ），说明 小额应付款的交易 / 欠款数量最多 。\")\n",
    "print(\"长尾特征 ：随着金额增大（500 以上），频率快速下降，呈现明显的 “长尾分布”—— 大额应付款（如 1000+）的频次显著减少，但仍有少量存在（尾部拖长）。\")"
   ],
   "id": "b4bbcd987a627782",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "集中趋势 ：金额主要集中在 0-500 区间 ，尤其是接近 0 的小额区间（比如 0-200 左右），频率峰值很高（接近 10 万 ），说明 小额应付款的交易 / 欠款数量最多 。\n",
      "长尾特征 ：随着金额增大（500 以上），频率快速下降，呈现明显的 “长尾分布”—— 大额应付款（如 1000+）的频次显著减少，但仍有少量存在（尾部拖长）。\n"
     ]
    }
   ],
   "execution_count": 12
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:58.064645Z",
     "start_time": "2025-06-11T05:33:57.745363Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#用户应还金额分布\n",
    "user_amounts = test_data.groupby('user_id')['due_amt'].sum().sort_values(ascending=False)\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "user_amounts.head(20).plot(kind='bar')\n",
    "plt.title('Top 20 Users by Total Due Amount')\n",
    "plt.xlabel('User ID')\n",
    "plt.ylabel('Total Due Amount')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ],
   "id": "fd8de4a99f0af1bc",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 13
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T05:33:58.069633Z",
     "start_time": "2025-06-11T05:33:58.065651Z"
    }
   },
   "cell_type": "code",
   "source": "print(\"少数用户是大额欠款主体，多数用户欠款规模相对接近。\")",
   "id": "54488a3fb173ff86",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "少数用户是大额欠款主体，多数用户欠款规模相对接近。\n"
     ]
    }
   ],
   "execution_count": 14
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 分析预测结果",
   "id": "6c3b55da0b528669"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T07:01:03.859711Z",
     "start_time": "2025-06-11T07:01:02.695495Z"
    }
   },
   "cell_type": "code",
   "source": [
    "result_data = pd.read_csv('result_data/re.csv')\n",
    "result_data"
   ],
   "id": "11692b811845c249",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "         listing_id  repay_date   repay_amt\n",
       "0           5431438  2019-03-12    0.403405\n",
       "1           5431438  2019-03-13    0.206570\n",
       "2           5431438  2019-03-14    0.130939\n",
       "3           5431438  2019-03-15    0.090554\n",
       "4           5431438  2019-03-16    0.090830\n",
       "...             ...         ...         ...\n",
       "3987073     5460170  2019-04-17    4.079566\n",
       "3987074     5460170  2019-04-18    7.358524\n",
       "3987075     5460170  2019-04-19    6.660217\n",
       "3987076     5460170  2019-04-20   19.599149\n",
       "3987077     5460170  2019-04-21  156.962581\n",
       "\n",
       "[3987078 rows x 3 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>listing_id</th>\n",
       "      <th>repay_date</th>\n",
       "      <th>repay_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>0.403405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-13</td>\n",
       "      <td>0.206570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-14</td>\n",
       "      <td>0.130939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>0.090554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-16</td>\n",
       "      <td>0.090830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987073</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>4.079566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987074</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-18</td>\n",
       "      <td>7.358524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987075</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-19</td>\n",
       "      <td>6.660217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987076</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-20</td>\n",
       "      <td>19.599149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987077</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-21</td>\n",
       "      <td>156.962581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3987078 rows × 3 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T07:01:06.952215Z",
     "start_time": "2025-06-11T07:01:06.611781Z"
    }
   },
   "cell_type": "code",
   "source": "result_data['repay_date'] = pd.to_datetime(result_data['repay_date'])",
   "id": "a9a53957b67953a8",
   "outputs": [],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T07:01:07.731287Z",
     "start_time": "2025-06-11T07:01:07.661372Z"
    }
   },
   "cell_type": "code",
   "source": [
    "daily_repayments = result_data.groupby('repay_date')['repay_amt'].sum().reset_index()\n",
    "daily_repayments"
   ],
   "id": "22411605e04629e",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   repay_date      repay_amt\n",
       "0  2019-02-01   10918.304797\n",
       "1  2019-02-02   15252.977526\n",
       "2  2019-02-03   18499.041673\n",
       "3  2019-02-04   20404.707539\n",
       "4  2019-02-05   20183.038081\n",
       "..        ...            ...\n",
       "84 2019-04-26  790882.304917\n",
       "85 2019-04-27  728934.957527\n",
       "86 2019-04-28  614837.559531\n",
       "87 2019-04-29  580757.266153\n",
       "88 2019-04-30  622685.495021\n",
       "\n",
       "[89 rows x 2 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>repay_date</th>\n",
       "      <th>repay_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>10918.304797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-02-02</td>\n",
       "      <td>15252.977526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-02-03</td>\n",
       "      <td>18499.041673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-02-04</td>\n",
       "      <td>20404.707539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-02-05</td>\n",
       "      <td>20183.038081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2019-04-26</td>\n",
       "      <td>790882.304917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>728934.957527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2019-04-28</td>\n",
       "      <td>614837.559531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2019-04-29</td>\n",
       "      <td>580757.266153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>622685.495021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89 rows × 2 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T07:01:24.703993Z",
     "start_time": "2025-06-11T07:01:24.334503Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Plot\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  \n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(daily_repayments['repay_date'], daily_repayments['repay_amt'], \n",
    "         marker='o', linestyle='-', color='b')\n",
    "plt.title('每日还款总额趋势', fontsize=16)\n",
    "plt.xlabel('日期', fontsize=14)\n",
    "plt.ylabel('还款总额（美元）', fontsize=14)\n",
    "plt.grid(True, which='both', linestyle='--', linewidth=0.5)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "# 标记最高点\n",
    "max_date = daily_repayments.loc[daily_repayments['repay_amt'].idxmax(), 'repay_date']\n",
    "max_amt = daily_repayments['repay_amt'].max()\n",
    "plt.annotate(\n",
    "    f'最高还款日: {max_date.strftime(\"%Y-%m-%d\")}\\n金额：${max_amt:.2f}', \n",
    "    xy=(max_date, max_amt),\n",
    "    xytext=(max_date + pd.Timedelta(days=5), max_amt*0.8),\n",
    "    arrowprops=dict(facecolor='red', shrink=0.05),\n",
    "    bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5)\n",
    ")\n",
    "\n",
    "plt.show()"
   ],
   "id": "5f274fde750b4c5e",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T13:03:06.583444Z",
     "start_time": "2025-06-11T13:03:05.282659Z"
    }
   },
   "cell_type": "code",
   "source": [
    "xgb_result_data = pd.read_csv('result_data/re_xgb.csv')\n",
    "xgb_result_data"
   ],
   "id": "a9a6b95f7aa81695",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "         listing_id  repay_date   repay_amt\n",
       "0           5431438  2019-03-12    0.778459\n",
       "1           5431438  2019-03-13    0.608827\n",
       "2           5431438  2019-03-14    0.572801\n",
       "3           5431438  2019-03-15    0.560882\n",
       "4           5431438  2019-03-16    0.562580\n",
       "...             ...         ...         ...\n",
       "3987073     5460170  2019-04-17    4.863229\n",
       "3987074     5460170  2019-04-18    7.411006\n",
       "3987075     5460170  2019-04-19    7.102861\n",
       "3987076     5460170  2019-04-20   19.646211\n",
       "3987077     5460170  2019-04-21  140.860089\n",
       "\n",
       "[3987078 rows x 3 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>listing_id</th>\n",
       "      <th>repay_date</th>\n",
       "      <th>repay_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-12</td>\n",
       "      <td>0.778459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-13</td>\n",
       "      <td>0.608827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-14</td>\n",
       "      <td>0.572801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-15</td>\n",
       "      <td>0.560882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5431438</td>\n",
       "      <td>2019-03-16</td>\n",
       "      <td>0.562580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987073</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-17</td>\n",
       "      <td>4.863229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987074</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-18</td>\n",
       "      <td>7.411006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987075</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-19</td>\n",
       "      <td>7.102861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987076</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-20</td>\n",
       "      <td>19.646211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987077</th>\n",
       "      <td>5460170</td>\n",
       "      <td>2019-04-21</td>\n",
       "      <td>140.860089</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3987078 rows × 3 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T13:03:55.701213Z",
     "start_time": "2025-06-11T13:03:55.215891Z"
    }
   },
   "cell_type": "code",
   "source": [
    "xgb_result_data['repay_date'] = pd.to_datetime(xgb_result_data['repay_date'])\n",
    "xgb_daily_repayments = xgb_result_data.groupby('repay_date')['repay_amt'].sum().reset_index()\n",
    "xgb_daily_repayments"
   ],
   "id": "e5b5a8d72b64cff0",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   repay_date      repay_amt\n",
       "0  2019-02-01   14919.572490\n",
       "1  2019-02-02   22731.999038\n",
       "2  2019-02-03   30290.397774\n",
       "3  2019-02-04   35082.107521\n",
       "4  2019-02-05   38787.160728\n",
       "..        ...            ...\n",
       "84 2019-04-26  713476.170274\n",
       "85 2019-04-27  657873.004606\n",
       "86 2019-04-28  556339.349402\n",
       "87 2019-04-29  516736.514469\n",
       "88 2019-04-30  542598.030855\n",
       "\n",
       "[89 rows x 2 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>repay_date</th>\n",
       "      <th>repay_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>14919.572490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-02-02</td>\n",
       "      <td>22731.999038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-02-03</td>\n",
       "      <td>30290.397774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-02-04</td>\n",
       "      <td>35082.107521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-02-05</td>\n",
       "      <td>38787.160728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2019-04-26</td>\n",
       "      <td>713476.170274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2019-04-27</td>\n",
       "      <td>657873.004606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2019-04-28</td>\n",
       "      <td>556339.349402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2019-04-29</td>\n",
       "      <td>516736.514469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>542598.030855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89 rows × 2 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 9
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-11T13:12:19.318144Z",
     "start_time": "2025-06-11T13:12:18.951002Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Plot\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  \n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(xgb_daily_repayments['repay_date'], xgb_daily_repayments['repay_amt'], \n",
    "         marker='o', linestyle='-', color='b')\n",
    "plt.title('每日还款总额趋势', fontsize=16)\n",
    "plt.xlabel('日期', fontsize=14)\n",
    "plt.ylabel('还款总额（美元）', fontsize=14)\n",
    "plt.grid(True, which='both', linestyle='--', linewidth=0.5)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "# 标记最高点\n",
    "max_date = xgb_daily_repayments.loc[xgb_daily_repayments['repay_amt'].idxmax(), 'repay_date']\n",
    "max_amt = xgb_daily_repayments['repay_amt'].max()\n",
    "plt.annotate(\n",
    "    f'最高还款日: {max_date.strftime(\"%Y-%m-%d\")}\\n金额：${max_amt:.2f}', \n",
    "    xy=(max_date, max_amt),\n",
    "    xytext=(max_date + pd.Timedelta(days=5), max_amt*0.8),\n",
    "    arrowprops=dict(facecolor='red', shrink=0.05),\n",
    "    bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5)\n",
    ")\n",
    "\n",
    "plt.show()"
   ],
   "id": "27593781597ac8a5",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "dc1bfd3fc560b462"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
